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Research on the Reliability of High-Speed Railway Dispatching and Commanding Personnel with Multi Physiological Signals

EasyChair Preprint no. 10414

9 pagesDate: June 17, 2023

Abstract

In the event of equipment failure, traffic accident, natural disaster and other abnormal situations, the timely emergency disposal of the traffic dispatcher is required. In order to accurately evaluate the human reliability of the high-speed railway traffic dispatcher in emergency scenarios, this paper proposes a reliability analysis method based on the Phoenix model. In order to eliminate the dependence of the traditional human reliability analysis method on expert experience, a quantification method based on multiple physiological signals is designed. This paper also gives a specific application of this method in the case of inbound signal machine failure. With this human reliability analysis method, the human reliability of the traffic dispatcher and the causative behavior with the highest probability of failure can be accurately calculated, which can provide a reference for the improvement of the emergency handling protocol.

Keyphrases: Human Reliability Analysis, physiological signals, Traffic dispatcher

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:10414,
  author = {Liuxing Hu and Wei Zheng},
  title = {Research on the Reliability of High-Speed Railway Dispatching and Commanding Personnel with Multi Physiological Signals},
  howpublished = {EasyChair Preprint no. 10414},

  year = {EasyChair, 2023}}
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